US8488852B2 - Medical imaging system for segementing blood vessel - Google Patents
Medical imaging system for segementing blood vessel Download PDFInfo
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- US8488852B2 US8488852B2 US13/027,460 US201113027460A US8488852B2 US 8488852 B2 US8488852 B2 US 8488852B2 US 201113027460 A US201113027460 A US 201113027460A US 8488852 B2 US8488852 B2 US 8488852B2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/162—Segmentation; Edge detection involving graph-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
- G06T2207/20156—Automatic seed setting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
- G06V2201/034—Recognition of patterns in medical or anatomical images of medical instruments
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- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Description
-
- small curvature along tube direction
- large curvature along perpendicular direction
This translates to small value of first eigen value λ1 and first eigenvector v1 in the direction of the tubular structure and larger value of second eigen value λ2 with the eigen vector v2 perpendicular to the tubular structure, wherein the first eigen value λ1 and first eigenvector v1 together represents thefirst data 5, and the second eigen value λ2 with the eigen vector v2 represents thesecond data 6. Thefirst data 5 andsecond data 6 together represent the Hessian Eigenanalysis 4.
(θ1−θ2)<Δ
where, θ1 and θ2 are the phases of two partially pruned medical images
N=FPS*TR−R±1
TR−R is the time interval between two physiological peaks.
Claims (14)
Priority Applications (1)
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US13/027,460 US8488852B2 (en) | 2011-02-15 | 2011-02-15 | Medical imaging system for segementing blood vessel |
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US13/027,460 US8488852B2 (en) | 2011-02-15 | 2011-02-15 | Medical imaging system for segementing blood vessel |
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US20120207378A1 US20120207378A1 (en) | 2012-08-16 |
US8488852B2 true US8488852B2 (en) | 2013-07-16 |
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US13/027,460 Expired - Fee Related US8488852B2 (en) | 2011-02-15 | 2011-02-15 | Medical imaging system for segementing blood vessel |
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US10115039B2 (en) | 2016-03-10 | 2018-10-30 | Siemens Healthcare Gmbh | Method and system for machine learning based classification of vascular branches |
US10206646B2 (en) | 2016-03-10 | 2019-02-19 | Siemens Healthcare Gmbh | Method and system for extracting centerline representation of vascular structures in medical images via optimal paths in computational flow fields |
US10210612B2 (en) | 2016-03-10 | 2019-02-19 | Siemens Healthcare Gmbh | Method and system for machine learning based estimation of anisotropic vessel orientation tensor |
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US7346382B2 (en) | 2004-07-07 | 2008-03-18 | The Cleveland Clinic Foundation | Brain stimulation models, systems, devices, and methods |
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US9974959B2 (en) | 2014-10-07 | 2018-05-22 | Boston Scientific Neuromodulation Corporation | Systems, devices, and methods for electrical stimulation using feedback to adjust stimulation parameters |
WO2016191436A1 (en) | 2015-05-26 | 2016-12-01 | Boston Scientific Neuromodulation Corporation | Systems and methods for analyzing electrical stimulation and selecting or manipulating volumes of activation |
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US10716942B2 (en) | 2016-04-25 | 2020-07-21 | Boston Scientific Neuromodulation Corporation | System and methods for directional steering of electrical stimulation |
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US10780282B2 (en) | 2016-09-20 | 2020-09-22 | Boston Scientific Neuromodulation Corporation | Systems and methods for steering electrical stimulation of patient tissue and determining stimulation parameters |
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8638999B2 (en) * | 2012-04-16 | 2014-01-28 | General Electric Company | Methods for generating a reconstructed tree structure from medical image data |
CN105427283A (en) * | 2015-11-06 | 2016-03-23 | 北京航空航天大学 | Interactive volume segmentation method based on Hessian implicit function |
CN105427283B (en) * | 2015-11-06 | 2018-01-19 | 北京航空航天大学 | A kind of interactive body dividing method based on Hessian implicit functions |
US10115039B2 (en) | 2016-03-10 | 2018-10-30 | Siemens Healthcare Gmbh | Method and system for machine learning based classification of vascular branches |
US10206646B2 (en) | 2016-03-10 | 2019-02-19 | Siemens Healthcare Gmbh | Method and system for extracting centerline representation of vascular structures in medical images via optimal paths in computational flow fields |
US10210612B2 (en) | 2016-03-10 | 2019-02-19 | Siemens Healthcare Gmbh | Method and system for machine learning based estimation of anisotropic vessel orientation tensor |
US10853944B2 (en) * | 2016-04-18 | 2020-12-01 | King Abdullah University Of Science And Technology | System and method for free-boundary surface extraction |
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